Publications
OTHERS (DOMESTIC) AoA Estimation from Array of Single-board Devices with Single-antennaWi-Fi chip
Shiyuan Zhuang (Institute of Science Tokyo), Han Lin (Institute of Science Tokyo), Kota Tsubouchi, Nobuhiko Nishio (Ritsumeikan University), Masamichi Shimosaka (Institute of Science Tokyo)
情報処理学会ユビキタスコンピューティングシステム研究会 (IPSJ SIGUBI)
February 28, 2025
Angle of Arrival (AoA) estimation has received considerable attention as a key solution in indoor positioning systems, particularly using Channel State Information (CSI) derived from Wi-Fi packets. Traditional approaches often leverage multi-antenna devices (e.g., the Intel 5300 NIC with three antennas) to perform MIMO-based time-ofarrival analyses across different antennas. However, these devices have been discontinued and are increasingly difficult to acquire, while single-board CSI scanners pose challenges for accurate AoA prediction. In this work, we propose a novel deployment strategy that arranges multiple single-board, single-antenna devices in an array to capture CSI from the same packet. We synchronize and merge these measurements via matching MAC addresses and sequence numbers, then apply a learning-based AoA prediction model to obtain robust angle estimates. Our approach offers a more flexible and easily deployable solution with readily available hardware, serving as an effective sensor platform for applications such as indoor localization and crowdsourcing.
Paper :
AoA Estimation from Array of Single-board Devices with Single-antennaWi-Fi chip
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